Data Analyst (Dept of Sarcoma Peritoneal Rare Tumours) (Contract)

SINGAPORE GENERAL HOSPITAL PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading healthcare institution in Singapore is seeking a Data Analyst to join their clinical and health services research team. The role requires the design and execution of data pipelines, statistical analysis, and reporting to improve patient outcomes. Candidates must possess a relevant degree and proficiency in Python, R, and SQL. Passion for healthcare analytics and collaboration within multidisciplinary teams is essential.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or related field.
• Advanced proficiency in Python, R, and Java.
• Hands-on experience with SQL database design.
• Extensive knowledge of AI/machine learning frameworks and data structures.

Responsibilities

• Design and create data pipelines for projects.
• Gather and organize data from various sources.
• Perform statistical and data analysis techniques.
• Ensure data quality through validation and cleaning.
• Apply data science/machine learning methods to analyze large datasets.
• Produce analysis reports and presentations.

Skills

Advanced proficiency in Python

Advanced proficiency in R

Advanced proficiency in Java

Hands-on experience with SQL database design

Knowledge of AI/machine learning frameworks

Strong analytical problem-solving skills

Ability to work within multidisciplinary teams

Education

Bachelor’s or Master’s degree in Data Science

Bachelor’s or Master’s degree in Computer Science

Bachelor’s or Master’s degree in Information Systems

Job description

We are looking for an enthusiastic, dynamic, meticulous, and responsible Data Analyst to work closely with a team of experienced researchers and the clinical team in health system, services innovation, and novel surgical technologies research. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for patients undergoing major surgery.

Your key responsibilities include:

• Design and create a data pipeline that meets the pre-specified needs and requirements of projects and maintains its proper function.

• Gathering data from various sources and organizing it for analysis

• Performing statistical and data analysis techniques to generate insights from the data

• Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning

• Apply data science/machine learning methods to analyse large datasets

• Performing descriptive analysis to facilitate initial data investigation

• Summarising and presenting exploratory data analysis results to stakeholders

• Developing/Building a technical AI development plan based on the research question (include machine learning, natural language processing, generative AI, deep learning models)

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations

• Data Visualization: Creating visual representations of data to effectively communicate insights

• Preparation of presentation slides and posters for submission to local and international conferences

• Performs other duties as directed by PI

Job requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, and Information Systems, Soft Engineering or any related computational disciplines or equivalent.

• Advanced proficiency in Python, R, Java code writing

• Hands‑on experience with SQL database design

• Extensive knowledge of AI/machine learning frameworks, libraries, data structures, data modelling, and software architecture.

• Familiarity with healthcare database management systems and processes as well as healthcare data governance policies and regulation will be an advantage.

• Experience in handling/processing/manipulation/analytics, ideally of both structured and non‑structured image based data

• An analytical problem solver: Strong analytical and problem‑solving skills, and ability to work with incomplete or imperfect data.

• An effective team player: to collaborate with members of inter‑professional functions, effectively contribute and be adaptive within multidisciplinary teams

• Passion to contribute and develop a career in the healthcare analytics and health services research arena.

• Passionate about clinical and health service research to bring about positive impact to patients with advanced cancers.